What is AgentOps?
建構和部署 AI 代理程式可能相當複雜。您需要能夠簡化測試、除錯和監控的工具，同時又不犧牲精確度或擴展性。這正是 AgentOps 的用武之地 — 這是一個以開發人員為先的平台，旨在協助您輕鬆測試、除錯和部署 AI 代理程式。無論您使用的是 400 多個 LLM、多代理程式框架還是自訂工具，AgentOps 都能提供您所需的觀察能力和控制力，以更快地建構可靠的代理程式。
只需兩行程式碼，您就可以存取強大的功能，如會話重播、成本追蹤和時間旅行除錯 — 所有這些都在一個直觀的儀表板中完成。AgentOps 受到 Microsoft、Google 和 IBM 等公司數千名工程師的信賴，是您建構企業級 AI 代理程式的首選解決方案。
主要功能
✨ 可視化代理程式行為
在詳細的時間軸視圖中，追蹤代理程式執行的每個步驟 — LLM 呼叫、工具使用、錯誤等等。了解發生了什麼、何時發生以及原因。
好處： 讓您完全了解代理程式的行為，從而更快地進行除錯並更順利地進行部署。
🔍 時間旅行除錯
以精確的準確度倒回並重播會話。檢查提示、完成情況和時間戳記，以快速識別問題。
好處： 在幾秒鐘內隔離問題，從而節省數小時的疑難排解時間。
📊 跨模型的成本追蹤
即時監控在 GPT-4、Anthropic 和其他模型上的支出。按代幣、提示和完成情況細分成本。
好處： 在擴展專案時，優化預算並避免意外支出。
🛠️ 讓微調變得更經濟實惠
利用儲存的完成情況來微調專業 LLM，比傳統方法便宜多達 25 倍。
好處： 提高模型效能，而不會花大錢。
🔒 企業級安全性
符合法規的功能，如 SOC-2、HIPAA 和 NIST AI RMF，可確保您的資料受到保護。自我託管選項可用於增加控制。
好處： 符合法規要求並與客戶維持信任。
使用案例
除錯複雜的多代理程式系統
想像一下管理一支協作執行研究任務的 AI 代理程式隊伍。使用 AgentOps，您可以可視化代理程式之間的互動、追蹤工具使用情況，並在幾秒鐘內找出錯誤。例如，如果一個代理程式無法更新資料庫，您可以使用「會話瀑布」功能將問題追溯到其根本原因。優化大規模部署的成本
一家部署由 GPT-4 提供支援的客戶服務機器人的新創公司需要控制成本。使用 AgentOps 的成本追蹤，他們監控代幣使用情況並調整提示以減少不必要的完成情況，從而將每月支出削減 30%。安全地擴展企業解決方案
一家金融機構建構 AI 代理程式來分析市場趨勢。透過 AgentOps 基於角色的權限設定和自訂 SSO 整合，他們確保只有授權人員才能存取敏感資料，從而符合嚴格的法規標準。
結論
AgentOps 使開發人員能夠自信地建構、測試和部署 AI 代理程式。從新創公司到《財富》500 強企業，團隊都依賴 AgentOps 來簡化工作流程、優化成本並實現企業級可靠性。立即免費開始，看看 AgentOps 如何改變您的 AI 開發流程。
More information on AgentOps
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AgentOps was manually vetted by our editorial team and was first featured on 2024-01-18.
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AgentOps 替代方案
更多 替代方案-
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使用 Open Agent Kit 快速打造客製化 AI 代理程式！ 開放原始碼、具備高度彈性，且可部署於任何地方。 連接大型語言模型 (LLM)，並透過外掛程式擴充功能。